class_docstr: El-Attar-Vidyasagar-Dutta [1]_ objective function.
  
  This class defines the El-Attar-Vidyasagar-Dutta function global
  optimization problem. This is a multimodal minimization problem defined as
  follows:
  
  .. math::
  
     f_{\text{ElAttarVidyasagarDutta}}(x) = (x_1^2 + x_2 - 10)^2
     + (x_1 + x_2^2 - 7)^2 + (x_1^2 + x_2^3 - 1)^2
  
  
  with :math:`x_i \in [-100, 100]` for :math:`i = 1, 2`.
  
  *Global optimum*: :math:`f(x) = 1.712780354` for
  :math:`x= [3.40918683, -2.17143304]`
  
  .. [1] Gavana, A. Global Optimization Benchmarks and AMPGO retrieved 2015
code: def fun(self, x, *args):
      self.nfev += 1
  
      return (
          (x[0] ** 2 + x[1] - 10) ** 2
          + (x[0] + x[1] ** 2 - 7) ** 2
          + (x[0] ** 2 + x[1] ** 3 - 1) ** 2
      )
  
imports: from numpy import abs, asarray, cos, exp, arange, pi, sin, sqrt, sum
  from .go_benchmark import Benchmark
label_desc: Use image node_id 2 for calling the ElAttarVidyasagarDutta obj's underlying member method code with example usage: obj.fun(x) and returns: unknown